contextualizing semantic representations using syntactically enriched vector models

... Trang 1Contextualizing Semantic Representations Using Syntactically Enriched Vector Models Stefan Thater and Hagen Fürstenau and Manfred Pinkal ... (2008) We go one step further, however, in that we employ syntactically enriched vector modelsas the basic meaning representations, as-suming a vector space spanned by combinations of dependency relations ... vector-space models have serious lim-itations, however: While semantic information is typically encoded in phrases and sentences, distri-butional semantics, in sharp contrast to logic-based semantics,

Ngày tải lên: 07/03/2014, 22:20

... build a top-down model of a face using HMMs Nefian and Hayes [12] modi-fied the approach by using discrete cosine transform (DCT) coefficients to form observation vectors Bai and Shen [13] used discrete ... from top to bottom This vector, along with the observation vectors from all other training images of the same individual, is used to train the HMM for this individual using maximum likelihood ... extracting observation vector sequences from subim-ages of the entire face image As with recognition using stan-dard HMMs, DWT is used for this purpose The observation vectors are obtained by

Ngày tải lên: 22/06/2014, 06:20

... tree-specific parameter vector is modelled as ϕ =A β + B u; u ∼ N(0, σ2D) (5) Trang 4where β is a p-dimensional vector of fixed population parameters, uiis a q-dimensional random effects vector associated ... mixed-effects-models are applied successfully to estimate the cambial age of juvenile-mature wood transition in Scots pine sample trees from slow-grown stands Till now segmented regression models are ... article Modelling juvenile-mature wood transition in Scots pine (Pinus sylvestris L.) using nonlinear mixed-effects models Rüdiger MUTZa*, Edith GUILLEYb, Udo H SAUTERc, Gérard NEPVEUb a Eidgenössische

Ngày tải lên: 08/08/2014, 01:22

... Trang 1R E S E A R C H Open AccessInhibition of core gene of HCV 3a genotype using synthetic and vector derived siRNAs Saba Khaliq, Shah Jahan, Bushra Ijaz, Waqar Ahmad, Sultan Asad, ... constructed HCV Core vector or Mock along with or without 10, 20 and 40 nM of siRNAs for 24 and 48 hrs Cells were harvested and relative RNA determinations were carried out using semi-quantitative ... delivery options of RNA to cells, either directly or through the introduction of expression vectors in which vector based strategies are foremost as efficient delivery of siRNA is major hindrance

Ngày tải lên: 12/08/2014, 02:20

... an alternative class of models, non- and semiparametric models were recently introduced The present study investigated the ability of nonparametric additive regression models to predict genomic ... using additive models to estimate genomic breeding values In particular, the modelling of the genotypic data is shown and a method for the optimal selection of model parameters is presented Using ... assumptions made in the Bayesian models of Meuwissen et al [1] are rather strong (e.g the priors are very informative) and introduced non-parametric and seminon-parametric models, which make fewer assumptions

Ngày tải lên: 14/08/2014, 13:21

... Models 12 2.2.2 Cross-Lingual Word Embedding Models 13 3 Using Cross-Lingual Word Embedding Models for Machine Trans-lation Systems 17 3.1 Enhancing the quality of Phrase-table in SMT Using ... integrated model The structure of the NMT models is simpler than that Trang 18of SMT models that uses vector representations (“embedding”, “continuous spacerepresentations”) for words and internal ... introduce models about monolingual andcross-lingual word embedding Trang 23multilin-2.2 Word Embedding 12During the 1990s, vector space models have been applied for distributional tics A variety of models

Ngày tải lên: 19/05/2019, 11:34

... commonly used classical linear time series models are ARIMA and linear regression models Rathod et al., (2011), Naveena et al., (2014) used different time series models to forecast the coconut production ... values and stochastic error terms ARIMA modes are also called as mixed family of models The pure models mean, the models which contain only AR or MA components, but not both The term integration ... results on pearl millet (bajra) production data set using two different models clearly reveal the efficiency of the ANN model.it shows ANN models are outperformed when compared to ARIMA model

Ngày tải lên: 08/07/2020, 23:47

... cross-validation ESC - across-sample validation using a model trained on ESC data including quantile normalization ESC raw - across-sample validation using a model trained on ESC data without normalization ... provided the foundation of the implementation of eHMM In contrast to ChromHMM, it models the read count data using a negative multi-nomial distribution instead of binarized data Together, these ... predicted enhancers show enriched binding of ESC specific transcription factors Nanog, Oct4 and Sox2 It is worth noting that these lineage-specific transcription factors are enriched more strongly

Ngày tải lên: 25/11/2020, 13:31

... residual stress using other artificial intelligence methods such as fuzzy neural networks (FNN) and support vector regression (SVR) [2]-[4] The SVR methods include a support vector machine (SVM), ... relatively accurate manner using cascaded support vector regression (CSVR) as an artificial intelligence method The results indicate that the estimated data obtained using the CSVR model exhibited ... parameter W denotes the weight of support vectors, and the constant b denotes the bias Following the transformation of input data vectors x( )t into vectors Φ x of a high dimensional kernel-(

Ngày tải lên: 24/11/2022, 17:50

... expression vectors are stabilized for long-term production of proteins and larger inserts Biotechnol J 9, 1369–1379 (2014). 53 Nakagawa, T et al Improved Gateway binary vectors: high-performance vectors ... advan-tages from a biosafety viewpoint as the TEV-derived vectors can infect only plants in which NIb is supplied in trans9,12 Because the viral vector could accommodate several genes, we reasoned ... isoprenoid biosynthesis to produce lycopene in tobacco leaves infected with an engineered viral vector Using the TEV-based system that we previously developed7–9, we aimed to explore whether we could

Ngày tải lên: 04/12/2022, 16:16

... -ASSIGNMENT SUBJECT: ECONOMETRICS II Topic Stock Price And Return Volatility Prediction Using ARIMA And ARCH-GARCH Models Student name: Nguyen Thi Lan Nhi Student ID: 11219243 Class: Actuary 63 Instructor: ... stock prices using ARIMA model The Box-Jenkins method is a systematic process for identifying, estimating, and diagnosing autoregressive integrated moving average (ARIMA) time series models It was ... conclude that the residual series is a white Trang 9Assessing modelOnce satisfactory models are obtained, use these models to make forecasts for first 10 observations in August, 2023 o For growth

Ngày tải lên: 29/05/2024, 18:09

... relationship between these variables by using econometric models For all of these reasons, the topic “The Determinants and Prediction of CPI in Vietnam using ARIMA and ECM models” was chosen to study RESEARCH ... research on forecasting CPI has been carried out using univariate models including ARIMA Nyoni, T (2019) forecasted UK consumer price index using ARIMA models for annual CPI data from 1960 to 2017 ... goods According to the author, using CPI also leads to the same conclusion Using three statistical models, Uko, A K., & Nkoro, E (2012) tested the performance of models in different periods

Ngày tải lên: 12/08/2024, 14:28

... in the semantic mapping approaches presented in the next two Chapters.Semantic Mapping Using Hidden Markov ModelsThis chapter presents a semantic mapping algorithm based on hidden Markov models. ... the triplet (d,0,@) defines a vector perpendicular to the plane The distance d represents the size of this vector and the angles 6 and ở the orientation of the vector from the origin [92] The ... mapping approaches described in this chapter have been applied using NIMS nodes with laser range finders.Figure 3.13: 3D map build using a NIMS node.Preliminary mapping results obtained from the

Ngày tải lên: 02/10/2024, 02:04

... Surveillance System for Personal Protective Equipment Compliance in Real Construction Sites using Deep Neural Network ModelsVietnamese: Phat trién hé thong tự động giám sát việc tuân thu thiết bị bảo hộ ... neural network models Experimental methods and quantitative evaluation based on parameters such as precision, recall, and F1-score are also used to evaluate the effectiveness of the models.The content ... of DNN models, object detection problems, YOLO architecture and interpretation of results The main body of the thesis consists of four chapters:Chapter 1: Overview of Deep Neural Network ModelsChapter

Ngày tải lên: 08/10/2024, 01:04

... 1424-8220 www.mdpi.com/journal/sensors Article Automatic Construction of 3D Basic-Semantic Models of Inhabited Interiors Using Laser Scanners and RFID Sensors Enrique Valero 1,2, *, Antonio Adan 2 ... Abstract: This paper is focused on the automatic construction of 3D basic-semantic models of inhabited interiors using laser scanners with the help of RFID technologies This is an innovative ... Applications Our work is focused on the automatic construction of 3D basic semantic models of inhabited interiors using laser scanners with the help of RFID technologies An inhabited environment

Ngày tải lên: 01/11/2022, 08:59

... Trang 1Learning Syntactic Verb Frames Using Graphical ModelsThomas Lippincott University of Cambridge Computer Laboratory United Kingdom tl318@cam.ac.uk ... of verbs and their frames We discuss the advantages of graphical models for this task, in particular the ease of integrating semantic information about verbs and arguments in a principled fashion. ... compre-hensive lexicon would also include semantic infor-mation about selectional preferences (or restrictions) on argument heads of verbs, diathesis alternations (i.e semantically-motivated alternations

Ngày tải lên: 19/02/2014, 19:20

... information about a single feature III Feature ranking with Support Vector Machines III.1 Support Vector Machines (SVM) To test the idea of using the weights of a classifier to produce a feature ranking, ... function of an input vector x is: The weight vector w is a linear combination of training patterns Most weights αk are zero The training patterns with non-zero weights are support vectors Thosewith ... strict inequality 0<αk<C are marginal support vectors The bias value b is an average over marginal support vectors. Many resources on support vector machines, including computer implementations

Ngày tải lên: 06/03/2014, 00:22

... neither, one, or both have an object child Semantic real 36 Nine semantic measures across four subgraphs each Bias constant 1 A value of 1 for all vectors Table 2: Subtree matching features used ... in the graph alignment stage The feature vector ψB(Ai, As) consists of eleven semantic features – the eight knowledge-based features plus LSA, ESA and a vector consisting only of tf*idf weights ... improvement of 0.019 across all eleven semantic features Table 5 shows the results of applying question demoting to our semantic features When comparing scores using RMSE, the difference is less

Ngày tải lên: 07/03/2014, 22:20

... Figure 6: Person-X Evaluation of Hierarchical Models: Performance of inference on hierarchical models compared to the pairwise model Experi-ments were run using 50 machines entity the link refers ... Trang 1Large-Scale Cross-Document Coreference Using Distributed Inference and Hierarchical Models § Department of Computer Science, University of Massachusetts, Amherst ... to using pairwise distance functions for which ad-ditional supervision and features are difficult to in-corporate In addition to representing features from all of the related work, graphical models

Ngày tải lên: 07/03/2014, 22:20

... that training using active learning significantly im-proves generation performance on sparse datasets, yielding results close to the human gold standard using a fraction of the data semantic stacks ... stacks BAGEL uses a stack-based semantic representa-tion to constrain the sequence of semantic con-cepts to be searched This representation can be seen as a linearised semantic tree similar to the ... and the previous, current, and following semantic stacks The semantic stack stat time t is assumed last mandatory stack stack set validator first frame semantic stack s stack set tracker repeated

Ngày tải lên: 17/03/2014, 00:20